The Interpretation of Process from Pattern Using Two‐Dimensional Spectral Analysis: Methods and Problems of Interpretation

E. Renshaw and E. D. Ford

Journal of the Royal Statistical Society Series C, 1983, vol. 32, issue 1, 51-63

Abstract: Two‐dimensional spectral analysis provides a comprehensive description of both the structure and scales of pattern in a spatial data set. It assumes no structural characteristics in the data prior to analysis. We demonstrate the advantage of this in an ecological situation where pattern may exist over a range of scales, be anisotropic and non‐stationary. All these may be important features relating to the underlying biological and environmental pattern generating mechanisms and should be explained prior to model building. We discuss general problems of estimation, discrimination and interpretation of spectra and illustrate them through the analysis of a forest canopy data set.

Date: 1983
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